Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
215
Single Precision Score
205
Half Precision Score
159
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 04 2025 12:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.85 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (Q)
|
99% |
1080
201.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
398
6.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
1090
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
719
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
52
4.12 IPS |
|
|
Object Detection (HP)
|
100% |
43
3.42 IPS |
|
|
Object Detection (Q)
|
85% |
40
3.25 IPS |
|
|
Face Detection (SP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (HP)
|
100% |
157
1.86 IPS |
|
|
Face Detection (Q)
|
97% |
226
2.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
293
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
315
2.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
308
2.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1296
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1354
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1760
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
107
3.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
88
3.26 IPS |
|
|
Text Classification (SP)
|
100% |
7
9.11 IPS |
|
|
Text Classification (HP)
|
100% |
10
13.0 IPS |
|
|
Text Classification (Q)
|
92% |
10
13.3 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (Q)
|
58% |
8
0.18 IPS |
